Hoyoon Byun

According to our database, Hoyoon Byun authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models.

Hoyoon Byun, Youngjun Choi, Taero Kim, Sungrae Park, Kyungwoo Song

CoRR, January, 2026

Graph Perceiver IO: A general architecture for graph-structured data.

Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song

Pattern Recognit., 2026

CBPE: Causal-aware Blood Pressure Estimation with Multimodal Data.

Hoyoon Byun, Sumin Park, Jinho Kang, Hyeonjeong Lee, Minseong Kim, Doosik Kim, Kwang-Yong Kim, Kyungwoo Song

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

2025

MIDUS: Memory-Infused Depth Up-Scaling.

Taero Kim, Hoyoon Byun, Youngjun Choi, Sungrae Park, Kyungwoo Song

CoRR, December, 2025

Multi-query frequency prompting for physiological signal domain adaptation.

Jinho Kang, Hoyoon Byun, Taero Kim, Jiyoung Jung, Kyungwoo Song

Knowl. Based Syst., 2025

GFML: Gravity function for metric learning.

Hoyoon Byun, Sungjun Lim, Kyungwoo Song

Eng. Appl. Artif. Intell., 2025

Flat Posterior Does Matter For Bayesian Model Averaging.

Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization.

Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang, Taero Kim, Jihee Kim, Kyungwoo Song

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LBC: Language-Based-Classifier for Out-Of-Variable Generalization.

Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, Kyungwoo Song

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Exploring the Potential of Foundation Models as Reliable AI Contact Centers.

Hoyoon Byun, Minhoi Park, Seolah Kim, EunBi Kim, Kyungwoo Song

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Tc-llama 2: fine-tuning LLM for technology and commercialization applications.

Jeyoon Yeom, Hakyung Lee, Hoyoon Byun, Yewon Kim, Jeongeun Byun, Yunjeong Choi, Sungjin Kim, Kyungwoo Song

J. Big Data, December, 2024

Flat Posterior Does Matter For Bayesian Transfer Learning.

Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song

CoRR, 2024

CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text.

Hakyung Lee, Keon-Hee Park, Hoyoon Byun, Jeyoon Yeom, Jihee Kim, Gyeong-Moon Park, Kyungwoo Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments.

Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Geodesic Multi-Modal Mixup for Robust Fine-Tuning.

Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023